Modern CI/CD platforms already help engineering teams build, test, and release software quickly and consistently, with deployments happening multiple times a day. Getting code into production has become increasingly automated, but what about knowing whether that deployment was actually successful? For that, most organisations are still relying on manual processes to find out:
- Has application performance changed?
- Are error rates increasing?
- Has the new version introduced unexpected behaviour?
Traditionally, getting the answers means manually reviewing dashboards, logs, and monitoring tools, or waiting for customer feedback and support tickets to highlight problems. But as deployment frequency increases, this approach doesn’t scale.
Basic monitoring platforms are designed to alert teams once a problem has already become visible. But by the time an alert is triggered, users may already be experiencing degraded performance or service disruption. To eliminate this, you need to be able to verify, with confidence and in real-time, that a deployment is healthy before it impacts your customers. You need to automate verification itself.
Harness sets itself apart with two key features:
AI Verify
Intelligent deployment monitoring from day one
AI Verify brings intelligence to deployment verification without adding complexity. Rather than requiring months of historical performance data or extensive manual configuration, AI Verify starts analysing deployments straight away. You can connect it to your existing observability tools, like Datadog, Prometheus, and New Relic, to understand how an application is behaving before and after a release.
Rather than asking teams to define every metric that should be monitored, AI Verify automatically identifies the signals that matter most for each deployment. By analysing data from your existing observability tools, it can quickly determine whether a release is behaving as expected, highlighting potential issues before they affect users. Your devs and SREs can release software with confidence without having to review dashboards after every deployment.
Continuous verification
Application health analysed in real-time
Harness takes deployment automation a step further with continuous verification. As code is rolled out – whether through canary, blue/green, or progressive deployment strategies – the platform continuously analyses application health in real-time, looking for anomalies that could indicate a problem.
Next, Harness automatically decides whether to continue the rollout, pause deployment for investigation, or trigger an automated rollback before more users are affected. Your devs receive immediate feedback on the health of each deployment, without waiting for manual validation or SRE review. The result is a faster, more reliable release process with less operational risk.
